feat(agent): v4.15.0 - panneau Agent style Notion AI (mentions @ inline + skills / + actions sous chaque réponse)

- Composeur contenteditable : mentions inline (pastilles icône+nom), barre de contexte groupée documents/skills, sélecteur @ (icône+titre+chemin), skills intégrés + agent_skills + commandes admin via '/'
- Actions sous chaque réponse agent : copier, insérer dans la page, feedback 👍/👎
- Backend : table agent_feedback, GET /api/agent/mentions, POST /api/agent/feedback, contexte document:<id>/page:<id>/collection:<id> résolu en contenu réel
- Inclut le travail v4.14.0 (documents/espace de travail + outils + auto-titre de conversation)

app/services/llm_client.py

@@ -227,6 +227,23 @@ class LLMClient:
         if draft:
             return LLMResponse(text=draft, model=model)
 
+        # Documents / espaces de travail (offline): unambiguous intents resolved
+        # from the objective — create a document (optionally in a named
+        # workspace) or list the accessible workspaces.
+        doc_args = self._document_create_args(objective)
+        if doc_args is not None:
+            return LLMResponse(
+                tool_calls=[{"name": "create_document", "arguments": doc_args}],
+                text="Plan: création d'un document.",
+                model=model,
+            )
+        if self._is_workspaces_request(objective):
+            return LLMResponse(
+                tool_calls=[{"name": "read_workspaces", "arguments": {}}],
+                text="Plan: lister les espaces de travail.",
+                model=model,
+            )
+
         # Exact keyword → tool intent resolution (objective only).
         for regex, builder in _CREATE_PATTERNS:
             m = regex.search(objective)
@@ -276,6 +293,46 @@ class LLMClient:
                     args["collection_id"] = ids[0]
         return args
 
+    @staticmethod
+    def _document_create_args(content: str) -> dict | None:
+        """Deterministic `create_document` intent for the offline mock.
+
+        Only fires when the user clearly asks to *create* a document (a content
+        rewrite such as « résume / traduis ce document » is left to `_draft_reply`).
+        Returns None when the message is not a create-document intent.
+        """
+        low = content.lower()
+        if "document" not in low:
+            return None
+        if not any(k in low for k in ("création", "créer", "crée", "crées", "create",
+                                      "nouveau document", "nouvelle page", "faire un")):
+            return None
+        quotes = re.findall(r'[«"]([^«»"]{1,80})[»"]', content)
+        title = quotes[0].strip() if quotes else None
+        if not title:
+            m = re.search(
+                r"\bdocument\b\s*(?:nomm[ée]e?\s+|intitul[ée]e?\s+|appel[ée]e?\s+)?"
+                r'[«"]?\s*([A-Za-zÀ-ÿ0-9][A-Za-zÀ-ÿ0-9_ \-]{1,60})',
+                content, re.IGNORECASE,
+            )
+            if m:
+                title = m.group(1).strip()
+        if not title:
+            return None
+        args = {"title": title}
+        if len(quotes) > 1 and re.search(r"\b(workspace|espace de travail)\b", low):
+            args["workspace_name"] = quotes[-1].strip()
+        return args
+
+    @staticmethod
+    def _is_workspaces_request(content: str) -> bool:
+        """True when the user asks to list / locate the workspaces."""
+        low = content.lower()
+        has_ws = any(w in low for w in ("workspace", "espace de travail", "espaces de travail"))
+        has_verb = any(v in low for v in ("liste", "lister", "list", "quels", "montre",
+                                          "affiche", "mes espaces", "ou sont", "où sont"))
+        return has_ws and has_verb
+
     @staticmethod
     def _system_content(messages) -> str:
         return "\n".join(m.get("content", "") for m in messages if m.get("role") == "system")